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Academic Catalog 2025-26

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Your search for courses · during 24FA, 25WI, 25SP · taught by cedge · returned 4 results

  • CS 111 Introduction to Computer Science 6 credits

    This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary.

    • Spring 2025
    • FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
    • NOT open to students who have completed any of the following course(s): CS 200 or greater with a grade of C- or better.

    • CGSC Core CL: 100 level CS Required for Major DGAH Skill Building No Prerequisites PHYS Addl Recommended STAT Supporting
    • CS  111.03 Spring 2025

    • Faculty:Chelsey Edge 🏫 👤
    • Size:38
    • M, WOlin 310 12:30pm-1:40pm
    • FOlin 310 1:10pm-2:10pm
  • CS 254 Computability and Complexity 6 credits

    An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

    • Fall 2024, Winter 2025
    • FSR, Formal or Statistical Reasoning
    • Student has completed any of the following course(s): CS 200 with a grade of C- or better or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or MATH 236 with a grade of C- or better or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.

    • CGSC Elective CL: 200 level CS Required for Major LING Pertinent LING Related Field MATH Discrete Structures MATH Electives NEUR Elective
    • CS  254.00 Fall 2024

    • Faculty:Chelsey Edge 🏫 👤
    • Size:34
    • M, WLanguage & Dining Center 104 11:10am-12:20pm
    • FLanguage & Dining Center 104 12:00pm-1:00pm
    • 34 spots held for students in CS Match until 9:00 a.m. May 24

    • CS  254.00 Winter 2025

    • Faculty:Chelsey Edge 🏫 👤
    • Size:34
    • M, WWeitz Center 132 11:10am-12:20pm
    • FWeitz Center 132 12:00pm-1:00pm
  • CS 294 Directed Research in Computer Science 1 – 6 credits

    Students work on a research project related to a faculty member's research interests, and directed by that faculty member. Student activities vary according to the field and stage of the project. The long-run goal of these projects normally includes dissemination to a scholarly community beyond Carleton. The faculty member will meet regularly with the student and actively direct the work of the student, who will submit an end-of-term product, typically a paper or presentation.

    Register for this course by submitting the Directed Research form which requires approval from the project faculty supervisor and your adviser.

    • Spring 2025, Fall 2025, Winter 2026, Spring 2026
    • No Exploration
    • CL: Faculty Research
    • CS  294.11 Spring 2025

    • Faculty:Chelsey Edge 🏫 👤
    • Grading:S/CR/NC
  • CS 321 Making Decisions with Artificial Intelligence 6 credits

    There are many situations where computer systems must make intelligent choices, from selecting actions in a game, to suggesting ways to distribute scarce resources for monitoring endangered species, to a search-and-rescue robot learning to interact with its environment. Artificial intelligence offers multiple frameworks for solving these problems. While popular media attention has often emphasized supervised machine learning, this course instead engages with a variety of other approaches in artificial intelligence, both established and cutting edge. These include intelligent search strategies, game playing approaches, constrained decision making, reinforcement learning from experience, and more. Coursework includes problem solving and programming.

    • Winter 2025
    • FSR, Formal or Statistical Reasoning
    • Student has completed any of the following course(s): CS 200 with a grade of C- or better or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or MATH 236 with a grade of C- or better or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.

    • CGSC Elective CL: 300 level CS Major Electives NEUR Elective SDSC CS Elective
    • CS  321.00 Winter 2025

    • Faculty:Chelsey Edge 🏫 👤
    • Size:34
    • M, WAnderson Hall 329 8:30am-9:40am
    • FAnderson Hall 329 8:30am-9:30am

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 10 September 2025
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